{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{3}{c}}
\hline\hline
            &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}\\
            &\multicolumn{1}{c}{2014-2019}&\multicolumn{1}{c}{2009-2019}&\multicolumn{1}{c}{2009-2019}\\
\hline
2019 election&       3.311\sym{***}&      -5.060\sym{***}&      -14.29\sym{***}\\
            &     (0.237)         &     (0.245)         &     (0.317)         \\
[1em]
EP election in 2019&       3.864\sym{***}&       4.483\sym{***}&       4.432\sym{***}\\
            &     (0.298)         &     (0.302)         &     (0.293)         \\
[1em]
Ciutadella in 2019&      -9.449\sym{***}&      -9.347\sym{***}&      -8.839\sym{***}\\
            &     (0.459)         &     (0.435)         &     (0.436)         \\
[1em]
EP 2019 x Ciutadella&      -5.785\sym{***}&      -6.073\sym{***}&      -6.022\sym{***}\\
            &     (1.011)         &     (0.943)         &     (0.940)         \\
[1em]
2014-2015 election&                     &                     &      -17.44\sym{***}\\
            &                     &                     &     (0.251)         \\
\hline
\(N\)       &        4988         &        7331         &        7331         \\
\hline\hline
\multicolumn{4}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{4}{l}{\footnotesize All models include voting station * election type fixed effects}\\
\multicolumn{4}{l}{\footnotesize Standard errors are clustered by voting station * election type}\\
\multicolumn{4}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
\end{tabular}
}
